Interactions in Multiagent Systems: Fairness, Social Optimality and Individual Rationality

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Synopsis

This
book mainly aims at solving the problems in both cooperative and competitive
multi-agent systems (MASs), exploring aspects such as how agents can
effectively learn to achieve the shared optimal solution based on their local
information and how they can learn to increase their individual utility by
exploiting the weakness of their opponents. The book describes fundamental and
advanced techniques of how multi-agent systems can be engineered towards the
goal of ensuring fairness, social optimality, and individual rationality; a
wide range of further relevant topics are also covered both theoretically and
experimentally. The book will be beneficial to researchers in the fields of
multi-agent systems, game theory and artificial intelligence in general, as well
as practitioners developing practical multi-agent systems.

Book details

Edition:
1st ed. 2016
Author:
Jianye Hao, Ho-fung Leung
ISBN:
9783662494707
Related ISBNs:
9783662494684
Publisher:
Springer Berlin Heidelberg
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2019-10-14
Usage restrictions:
Copyright
Copyright date:
2016
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Business and Finance, Computers and Internet, Mathematics and Statistics, Nonfiction